Showing 9 open source projects for "ghost 4 linux"

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  • Gemini 3 and 200+ AI Models on One Platform Icon
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    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

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  • 1
    AutoGPT

    AutoGPT

    Powerful tool that lets you create and run intelligent agents

    AutoGPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set. As one of the first examples of GPT-4 running fully autonomously, AutoGPT pushes the boundaries of what is possible with AI.
    Downloads: 5 This Week
    Last Update:
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  • 2
    SWE-agent

    SWE-agent

    SWE-agent takes a GitHub issue and tries to automatically fix it

    SWE-agent turns LMs (e.g. GPT-4) into software engineering agents that can resolve issues in real GitHub repositories. On the SWE-bench, the SWE-agent resolves 12.47% of issues, achieving state-of-the-art performance on the full test set. We accomplish our results by designing simple LM-centric commands and feedback formats to make it easier for the LM to browse the repository, and view, edit, and execute code files. We call this an Agent-Computer Interface (ACI).
    Downloads: 6 This Week
    Last Update:
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  • 3
    MetaGPT

    MetaGPT

    The Multi-Agent Framework

    The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo. Assign different roles to GPTs to form a collaborative software entity for complex tasks. MetaGPT takes a one-line requirement as input and outputs user stories / competitive analysis/requirements/data structures / APIs / documents, etc. Internally, MetaGPT includes product managers/architects/project managers/engineers. It provides the entire process of a software company along with carefully orchestrated SOPs.
    Downloads: 17 This Week
    Last Update:
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  • 4
    Self-Operating Computer

    Self-Operating Computer

    A framework to enable multimodal models to operate a computer

    The Self-Operating Computer Framework is an innovative system that enables multimodal models to autonomously operate a computer by interpreting the screen and executing mouse and keyboard actions to achieve specified objectives. This framework is compatible with various multimodal models and currently integrates with GPT-4o, o1, Gemini Pro Vision, Claude 3, and LLaVa. Notably, it was the first known project to implement a multimodal model capable of viewing and controlling a computer screen....
    Downloads: 14 This Week
    Last Update:
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    MongoDB Atlas runs apps anywhere

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  • 5
    Griptape

    Griptape

    Python framework for AI workflows and pipelines with chain of thought

    The Griptape framework provides developers with the ability to create AI systems that operate across two dimensions: predictability and creativity. For predictability, Griptape enforces structures like sequential pipelines, DAG-based workflows, and long-term memory. To facilitate creativity, Griptape safely prompts LLMs with tools (keeping output data off prompt by using short-term memory), which connects them to external APIs and data stores. The framework allows developers to transition...
    Downloads: 4 This Week
    Last Update:
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  • 6
    iX

    iX

    Autonomous GPT-4 agent platform

    IX is a platform for designing and deploying autonomous and [semi]-autonomous LLM-powered agents and workflows. IX provides a flexible and scalable solution for delegating tasks to AI-powered agents. Agents created with the platform can automate a wide variety of tasks while running in parallel and communicating with each other.
    Downloads: 4 This Week
    Last Update:
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  • 7
    Shinkai: Local AI Agents

    Shinkai: Local AI Agents

    Shinkai allows you to create advanced AI (local) agents effortlessly

    Shinkai is a free, open-source AI platform that lets anyone create powerful AI agents without coding. These agents can collaborate with each other, handle complex tasks, and operate in decentralized crypto environments. Key Features: - No-Code Agent Creation - Build specialized agents (trading bots, sentiment trackers, etc.) with simple descriptions - Multi-Agent Collaboration - Agents work together to solve complex problems - Crypto Integration - Built-in support for decentralized...
    Downloads: 8 This Week
    Last Update:
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  • 8
    AI-Agent-Host

    AI-Agent-Host

    The AI Agent Host is a module-based development environment.

    The AI Agent Host integrates several advanced technologies and offers a unique combination of features for the development of language model-driven applications. The AI Agent Host is a module-based environment designed to facilitate rapid experimentation and testing. It includes a docker-compose configuration with QuestDB, Grafana, Code-Server and Nginx. The AI Agent Host provides a seamless interface for managing and querying data, visualizing results, and coding in real-time. The AI...
    Downloads: 0 This Week
    Last Update:
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  • 9

    PyGOAPng

    Python Goal Oriented Action Planning (GOAP) library

    A library for implementing GOAP in an AI agent. Based on pygoap v3 by Leif Theden et al. Updated code to work without having pygame installed, bug-fixed functions to make them implement the behaviors that were expected, and implemented desired behaviors so that the Pirate demo works properly for all known actions and goals.
    Downloads: 0 This Week
    Last Update:
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